Q-Q plots against the normal distribution

Produces one quantile-quantile plot per numeric column of df, comparing the empirical distribution to the theoretical normal. A reference line is fitted through the 25th and 75th percentiles (the same convention used by stats::qqline()). Non-numeric columns are skipped silently. A progress bar is printed to the console.

Usage

plot_qq(df, title = "", base_size = 10, pb = FALSE)

Arguments

df

Data frame or vector. Non-numeric columns are skipped.

title

Character string used as the plot title. Default is "".

base_size

Base font size passed to theme_bw(). Default is 10.

pb

Logical; whether to display a progress bar in the console. Default is FALSE.

Value

A named list of ggplot objects, one per numeric column.

Examples

vector <- generate_missing(rnorm(50), missing = 10)
df <- generate_missing(mtcars[, 1:2], missing = 10)
plot_qq(df = vector)

plot_qq(df = df)


plot_multiplot(plotlist = plot_qq(df = mtcars[,1:4]), cols = 2)